Evgeny Matusov, Richard Zens, David Vilar, Arne Mauser, Maja Popović, Hermann Ney
We present the statistical machine translation system used by RWTH in the second TC-STAR evaluation. We give a short overview of the system as used in the first evaluation and then enumerate the...
2006. Statistical Machine Translation of German Compound Words (2008)
Maja Popović, Daniel Stein, Hermann Ney
Abstract. German compound words pose special problems to statistical machine translation systems: the occurence of each of the components in the training data is not sufficient for successful...
Word error rates: Decomposition over POS classes and applications for error analysis (2007)
Evaluation and error analysis of machine translation output are important but difficult tasks. In this work, we propose a novel method for obtaining more details about actual translation errors in...
Improving statistical word alignments with morpho-syntactic transformations (2006)
Adrià De Gispert, Deepa Gupta, Maja Popović, Patrik Lambert, Jose B. Mariño, Marcello Federico, ...
Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations according to information of...
Maja Popović, Hermann Ney, Adrià De Gispert, José B. Mariño, Deepa Gupta, Marcello Federico, ...
Evaluation of machine translation output is an important but difficult task. Over the last years, a variety of automatic evaluation measures have been studied, some of them like Word Error Rate...
Abstract. In this work, the use of a phrasal lexicon for statistical machine translation is proposed, and the relation between data acquisition costs and translation quality for different types and...
D.: Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging (2004)
Hermann Ney, Maja Popović, David Sündermann
Starting from first principles, we re-visit the statistical approach and study two forms of the Bayes decision rule: the common rule for minimizing the number of string errors and a novel rule for...
Using posterior probabilities for speech/music discrimination (2001)
Automatic speech/music discrimination has been receiving importance recently, for example when large multimedia documents have to be processed by an ASR system, or for indexing and retrieval of such...
Family Compliance Office (1974)
The performance of a statistical machine translation system depends on the size of the available task-specific bilingual training corpus. On the other hand, acquisition of a large high-quality...